O'Reilly Beautiful Visualization 9781449379865 ユーザーズマニュアル

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ChapTer 6: FliGhT paTTernS: a deep diVe
Every time you work with large, organic datasets, you will find errors and anomalies, 
and I think it’s important to consider how to handle them. For each case, I ask myself, 
will I harm the integrity of the data by manipulating it? If the answer is yes, it’s best to 
simply leave the data as it is or, in the case of obvious errors, remove them entirely. If 
anything, you should celebrate anomalies rather than removing them (and be sure to 
investigate them for the interesting stories).
Conclusion
Flight Patterns is a simple data visualization, and this simplicity makes it compelling 
for several reasons. For one thing, the project reveals a map of our air transit system, 
which is something that has never before been visualized publicly, as far as I’m aware. 
Secondly, the visualization is easy to understand, even though it is made entirely from 
data—the airports in the visualization create nodes that conform to our geographical 
conception of North America (Figure 6-14). Likewise, the densest flight paths fall over 
areas of high population, just as we’d expect.
Figure 6-14.  a closeup on the southwest United states—how many airports can you identify?